This paper contains the overview of various parallelization techniques to improve the performance of existing data mining algorithms and make the capable of handling large amount of data. There are variety of techniques to achieve the parallelization in data mining field, in this paper a brief introduction to few of the popular techniques is presented. The second part of this paper contains information regarding various data algorithms that are proposed by various authors based on these techniques. In Introduction various results corresponding to a survey are provided
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